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A new algorithm for estimating the parameters of a polynomial phase signal

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Abstract

This paper presents a new algorithm for estimating the parameters of a polynomial phase signal (PPS). The proposed algorithm is based on the modified version of the Wigner-Ville distribution (WVD). For a quadratic or cubic frequency modulated (FM) signal, it requires two-dimensional (2-D) maximizations. The optimal maximum likelihood algorithm, by contrast, requires a three-dimensional (3-D) or four- dimensional (4-D) maximization. The Monte-Carlo simulations are provided to illustrate the precision of the new method, its application in the instantaneous frequency (IF) estimation and time-frequency distribution are also discussed.

Original languageEnglish
Title of host publicationIET International Radar Conference 2009
Edition551 CP
DOIs
StatePublished - 2009
EventIET International Radar Conference 2009 - Guilin, China
Duration: 20 Apr 200922 Apr 2009

Publication series

NameIET Conference Publications
Number551 CP

Conference

ConferenceIET International Radar Conference 2009
Country/TerritoryChina
CityGuilin
Period20/04/0922/04/09

Keywords

  • Application
  • Modified version of the WVD
  • Quadratic or cubic FM signal

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